Employee Petition Tracker → Sentiment Analysis → Crisis Response
Monitor employee communications and public statements for sentiment shifts, automatically analyze support patterns for company positions, and trigger crisis management protocols when needed.
Workflow Steps
Twitter API
Monitor employee social media
Set up Twitter API monitoring for posts from verified employee accounts (create a list of your company's employees). Track mentions of company name, competitor names, and industry keywords like 'lawsuit support', 'amicus brief'.
Make.com
Aggregate social data
Create a Make scenario that collects tweets, LinkedIn posts, and other public employee statements. Filter for posts containing specific keywords and store in a Google Sheet with timestamp and engagement metrics.
OpenAI GPT-4
Analyze sentiment and risk
Process collected posts through GPT-4 to analyze: 1) Sentiment (positive/neutral/negative), 2) Support/opposition level, 3) Potential reputational risk (1-10 scale), 4) Key themes. Generate daily sentiment reports.
Airtable
Track sentiment trends
Store analysis results in Airtable with automated views showing sentiment trends over time, high-risk posts flagged for review, and employee participation patterns in external causes or statements.
PagerDuty
Alert crisis management team
Trigger PagerDuty alerts when sentiment drops below threshold or high-risk posts exceed daily limits. Route to appropriate teams: PR for media response, HR for employee relations, Legal for potential issues.
Workflow Flow
Step 1
Twitter API
Monitor employee social media
Step 2
Make.com
Aggregate social data
Step 3
OpenAI GPT-4
Analyze sentiment and risk
Step 4
Airtable
Track sentiment trends
Step 5
PagerDuty
Alert crisis management team
Why This Works
Proactive monitoring prevents crisis escalation, AI sentiment analysis scales human oversight, and automated alerting ensures rapid response to emerging employee relations issues
Best For
HR and communications teams at large tech companies managing employee activism and public statements
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